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      Dementia Caregiver Experiences and Recommendations for Using the Behavioral and Environmental Sensing and Intervention System at Home: Usability and Acceptability Study

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          Abstract

          Background

          Caregiver burden associated with dementia-related agitation is one of the most common reasons for a community-dwelling person living with dementia to transition to a care facility. The Behavioral and Environmental Sensing and Intervention (BESI) for the Dementia Caregiver Empowerment system uses sensing technology, smartwatches, tablets, and data analytics to detect and predict agitation in persons living with dementia and to provide just-in-time notifications and dyad-specific intervention recommendations to caregivers. The BESI system has shown that there is a valid relationship between dementia-related agitation and environmental factors and that caregivers prefer a home-based monitoring system.

          Objective

          The aim of this study is to obtain input from caregivers of persons living with dementia on the value, usability, and acceptability of the BESI system in the home setting and obtain their insights and recommendations for the next stage of system development.

          Methods

          A descriptive qualitative design with thematic analysis was used to analyze 10 semistructured interviews with caregivers. The interviews comprised 16 questions, with an 80% (128/160) response rate.

          Results

          Postdeployment caregiver feedback about the BESI system and the overall experience were generally positive. Caregivers acknowledged the acceptability of the system by noting the ease of use and saw the system as a fit for them. Functionality issues such as timeliness in agitation notification and simplicity in the selection of agitation descriptors on the tablet interface were identified, and caregivers indicated a desire for more word options to describe agitation behaviors. Agitation intervention suggestions were well received by the caregivers, and the resulting decrease in the number and severity of agitation events helped confirm that the BESI system has good value and acceptability. Thematic analysis suggested several subjective experiences and yielded the themes of usefulness and helpfulness.

          Conclusions

          This study determined preferences for assessing caregiver strain and burden, explored caregiver acceptance of the technology system (in-home sensors, actigraph or smart watch technology, and tablet devices), discerned caregiver insights on the burden and stress of caring for persons living with dementia experiencing agitation in dementia, and solicited caregiver input and recommendations for system changes. The themes of usefulness and helpfulness support the use of caregiver knowledge and experience to inform further development of the technology.

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          Most cited references37

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          Using thematic analysis in psychology

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            The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

            Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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              The Clinical Dementia Rating (CDR): current version and scoring rules.

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                Author and article information

                Contributors
                Journal
                JMIR Aging
                JMIR Aging
                JA
                JMIR Aging
                JMIR Publications (Toronto, Canada )
                2561-7605
                Oct-Dec 2021
                6 December 2021
                : 4
                : 4
                : e30353
                Affiliations
                [1 ] Department of Health Care Innovation and Implementation Science Virginia Tech Carilion School of Medicine Roanoke, VA United States
                [2 ] Department of Psychiatry and Behavioral Medicine Virginia Tech Carilion School of Medicine Roanoke, VA United States
                [3 ] Center for Research and Innovation, Faculty of Medical Technology Mahidol University Bangkok Thailand
                [4 ] Virginia Tech Carilion School of Medicine Roanoke, VA United States
                [5 ] Department of Genetics University of North Carolina at Chapel Hill Chapel Hill, NC United States
                [6 ] Department of Electrical and Computer Engineering The George Washington University Washington, DC United States
                Author notes
                Corresponding Author: Martha Smith Anderson msaconsulting@ 123456mail.com
                Author information
                https://orcid.org/0000-0001-7384-1458
                https://orcid.org/0000-0001-8585-4643
                https://orcid.org/0000-0003-3845-6559
                https://orcid.org/0000-0003-4236-1325
                https://orcid.org/0000-0003-1969-5634
                https://orcid.org/0000-0002-7105-9996
                Article
                v4i4e30353
                10.2196/30353
                8691404
                34874886
                e48f4bc4-8a85-41bc-bbf5-b25401e99a60
                ©Martha Smith Anderson, Azziza Bankole, Nutta Homdee, Brook A Mitchell, Grace E Byfield, John Lach. Originally published in JMIR Aging (https://aging.jmir.org), 06.12.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on https://aging.jmir.org, as well as this copyright and license information must be included.

                History
                : 12 May 2021
                : 19 June 2021
                : 14 August 2021
                : 26 September 2021
                Categories
                Original Paper
                Original Paper

                dementia,agitation,sensors,smart health,wearable technology,just-in-time notifications,caregiver,dyad,home-based,qualitative

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